Which client characteristics predict home‐care needs? Results of a survey study among Dutch home‐care nurses

Bibliographic Data

ID12288607
AuthorsAnne O E van den Bulck (0000-0001-5925-5540, Faculty of Health, Medicine and Life Sciences, Care and Public Health Research Institute (CAPHRI), Department of Health Services Research Maastricht University Maastricht The Netherlands, corresponding author), Silke F Metzelthin (0000-0002-4764-2196, Faculty of Health, Medicine and Life Sciences, Care and Public Health Research Institute (CAPHRI), Department of Health Services Research Maastricht University Maastricht The Netherlands), Arianne Elissen (0000-0001-9795-8095, Maastricht University), Arianne M J Elissen (Faculty of Health, Medicine and Life Sciences, Care and Public Health Research Institute (CAPHRI), Department of Health Services Research Maastricht University Maastricht The Netherlands), Marianne Stadlander (Dutch Healthcare Authority), Marianne C Stadlander (Dutch Healthcare Authority (NZa) Utrecht The Netherlands), Jaap Stam (Dutch Healthcare Authority), Jaap E Stam (Dutch Healthcare Authority (NZa) Utrecht The Netherlands), Gia Wallinga (Dutch Nurses Association (V&VN) District Nurses and Public Health Nurses Utrecht The Netherlands), Dirk Ruwaard (0000-0003-4887-8413, Faculty of Health, Medicine and Life Sciences, Care and Public Health Research Institute (CAPHRI), Department of Health Services Research Maastricht University Maastricht The Netherlands)
Year2018
Volume27
Issue1
Pages93-104
Publication date2018-07-19
Open AccessYes
TypeARTICLE
VenueHealth & Social Care in the Community (JOURNAL)
Journal identifiersISSN: 0966-0410 • E-ISSN: 1365-2524
PublisherWiley (PUBLISHER • GB)
DOI10.1111/hsc.12611
PMID30027552
OpenAlexW2884632828
LanguageEN
Citations received6
References cited17

Fee-for-service, funding care on an hourly rate basis, creates an incentive for home-care providers to deliver high amounts of care. Under casemix funding, in contrast, clients are allocated-based on their characteristics-to homogenous, hierarchical groups, which are subsequently funded to promote more effective and efficient care. The first step in developing a casemix model is to understand which client characteristics are potential predictors of home-care needs. Nurses working in home care (i.e. home-care nurses) have a good insight into clients' home-care needs. This study was conducted in co-operation with the Dutch Nurses' Association and the Dutch Healthcare Authority. Based on international literature, 35 client characteristics were identified as potential predictors of home-care needs. In an online survey (May, 2017), Dutch home-care nurses were asked to score these characteristics on relevance, using a 9-point Likert scale. They were subsequently asked to identify the top five client characteristics. Data were analysed using descriptive statistics. The survey was completed by 1,007 home-care nurses. Consensus on relevance was achieved for 15 client characteristics, with "terminal phase" being scored most relevant, and "sex" being scored as the least relevant. Relevance of the remaining 20 characteristics was uncertain. Additionally, based on the ranking, "ADL functioning" was ranked as most relevant. According to home-care nurses, both biomedical and psychosocial client characteristics need to be taken into account when predicting home-care needs. Collaboration between clinical practice, policy development, and science is necessary to realise a funding model, to work towards the Triple Aim (improved health, better care experience, and lower costs)

Business · Descriptive statistics · Family medicine · Incentive · Likert scale · Psychosocial · Relevance (law · Service (business · Chronic Disease Management Strategies · Geriatric Care and Nursing Homes · Medicine · Nursing · Palliative Care and End-of-Life Issues · Psychology

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